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Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics) de Yinglin Xia,Jun Sun,Ding-Geng Chen

Descripción - Reseña del editor This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research. Contraportada This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.

Statistical analysis of microbiome data with r springerlink the data and r computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research the book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well Statistical analysis of microbiome data with r icsa book 配送商品ならstatistical analysis of microbiome data with r icsa book series in statisticsが通常配送無料更にならポイント還元本が多数xia, yinglin, sun, jun, chen, dinggeng作品ほかお急ぎ便対象商品は当日お届けも可能 Statistical analysis of microbiome data with r yinglin statistical analysis of microbiome data with r by yinglin xia, 9789811315336, available at book depository with free delivery worldwide

Statistical methods for microbiome data analysis methods for microbiome data analysis kernelbased score test kernels for microbiome data kernel as a similarity measure and create kernel from distance k 1 2 i 110 nd2i 110 n where dis the distance matrix it is easy to verify d2 ij k ii k jj 2k ij the key is to use a distance that characterizes well the relationship between Statistical analysis of microbiome data with r isbn this unique book addresses the statistical modelling and analysis of microbiome data using cuttingedge r software it includes realworld data from the authors research and from the public domain, and discusses the implementation of r for data analysis step by step Statistical analysis of microbiome data with r ebook get this from a library statistical analysis of microbiome data with r yinglin xia jun sun dinggeng chen this unique book addresses the statistical modelling and analysis of microbiome data using cuttingedge r software it includes realworld data from the authors research and from the public domain,

Detalles del Libro

  • Name: Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics)
  • Autor: Yinglin Xia,Jun Sun,Ding-Geng Chen
  • Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  • Tamaño del archivo: 18 MB
  • Tipos de archivo: PDF Document
  • Idioma: Español
  • Archivos de estado: AVAILABLE


Gratis Statistical Analysis of Microbiome Data with R (ICSA Book Series in Statistics) de Yinglin Xia,Jun Sun,Ding-Geng Chen PDF [ePub Mobi] Gratis

Hypothesis testing and statistical analysis of microbiome first of all, microbiome and phyloseq have integrated other available statistical packages to perform statistical hypothesis testing and analysis for example, the microbiome package contains generalpurpose tools for microarraybased analysis of microbiome profiling data sets in r Statistical analysis of microbiome data with r icsa book the data and r computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own researchthe book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in nextgeneration sequencing Statistical analysis of microbiome data with r yinglin the data and r computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research the book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well

Statistical analysis of microbiome data with r icsa book statistical analysis of microbiome data with r icsa book series in statistics 1st ed 2018 edition by yinglin xia author, jun sun author, dinggeng chen author amp 0 more 50 out of 5 stars 1 rating Introductory overview of statistical analysis of abstract in this chapter, we first introduce and discuss the themes and statistical hypotheses in human microbiome studies in sect 31then, we overview the classic statistical methods and models for microbiome studies in sect 32in sect 33, we introduce the newly developed multivariate statistical methodssection 34 introduces the compositional analysis of microbiome data Statistical methods for human microbiome data analysis statistical methods for human microbiome data analysis abstract the human microbiome is the totality of the microbes, their genetic elements and the interactions they have with surrounding environments throughout the human body studies have implicated the human microbiome in health and disease


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